Sr. Real World Evidence Analyst (EU)

Sr. Real World Evidence Analyst (EU)

Barcelona, Spain | Full‑time

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem – including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavant is building the future of how data is connected and used to improve health.

Description

As a science‑driven healthcare analytics company with a rapidly growing customer base, Datavant is seeking a Senior Real‑World Evidence Analyst with experience analyzing healthcare data.

Responsibilities

• Study Design & Protocol Development
  • Aid in the scientific feasibility of observational studies.
  • Aid in the development of observational study protocols and statistical analysis plans (SAP), which may include tasks such as literature reviews or code‑list development.
• Study Implementation & Data Analysis
  • Develop a deep understanding of our internal analytic products (RWE Generation application).
  • Lead and support the implementation of real‑world evidence studies which may include:
    • Translating the study protocol into study implementation and results.
    • Working with real‑world healthcare data, including claims databases and electronic health records, to define and build measures for analysis execution.
    • Executing data analysis using internal products or tools such as R or SQL.
    • Delivering study results, including the preparation and communication of results tables, figures etc.
  • Develop and maintain knowledge of real‑world data sources.
• Customer Support
  • May be asked to work with customers to guide them in designing, creating and delivering scientific results using our RWE Generation application.
• Collaboration
  • Collaborate closely within the R+A team and partner closely with leads on the Scientific Consulting team.
  • Collaborate with cross‑functional teams such as Product Management and Engineering to contribute to the development of analytic product features.

Qualifications

• Required Qualifications
  • Bachelor’s degree (or equivalent), preferably in sciences, social sciences, or a related analytic field with at least 2 years of full‑time experience in a research or analytic area, OR Master’s degree in Public Health, Epidemiology, or Biostatistics.
  • Demonstrated experience in analytical research using healthcare data, preferably healthcare claims and/or electronic health records (EHR) data.
  • Outstanding attention to detail and organization.
  • Strong ability for critical and logical thinking.
  • Strong ability to quickly learn new tools.
  • Strong ability to self‑motivate and manage conflicting priorities in a fast‑paced environment.
  • Excellent communication in verbal and written form.
• Preferred Qualifications
  • Experience with analytic or statistical software programs (e.g., R, SAS).
  • Experience with epidemiological studies or familiarity with epidemiology concepts.

Perks of joining Datavant in Barcelona

• 25 vacation days
• Daily in‑office lunch stipend (and a fully stocked kitchen)
• Hybrid work model: 2 days/week in our office in Gracia
• Commitment to professional development opportunities
• Employee‑led initiatives including annual company‑wide innovation day & DEI resource groups
• Comprehensive private health coverage with out‑of‑network reimbursements options
• Flexible remuneration with Cobee (Restaurant, Transportation, Nursery)
• Peer & company recognition programs
• Monthly educational lunch & learns

Other Information

We are not eligible for employment sponsorship.

Equal Employment Opportunity

Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.